Covariant Compositional Networks For Learning Graphs. - Risi Kondor; Hy Truong Son; Horace Pan; Brandon M. Anderson; Shubhendu Trivedi (ICLR (Workshop), 2018)

Cormorant: Covariant Molecular Neural Networks. - Brandon M. Anderson; Truong-Son Hy; Risi Kondor (NeurIPS, 2019)

The general theory of permutation equivarant neural networks and higher order graph variational encoders. - Erik Henning Thiede; Truong-Son Hy; Risi Kondor (CoRR, 2020)

Multiresolution Graph Variational Autoencoder. - Truong Son-Hy; Risi Kondor (CoRR, 2021)

Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs. - Truong Son-Hy; Risi Kondor (CoRR, 2021)

Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. - Truong Son Hy; Viet Bach Nguyen; Long Tran-Thanh; Risi Kondor (Healthcare AI and COVID-19 Workshop, 2022)

Multiresolution Matrix Factorization and Wavelet Networks on Graphs. - Truong Son Hy; Risi Kondor (TAG-ML, 2022)

Predicting Drug-Drug Interactions using Deep Generative Models on Graphs. - Nhat Khang Ngo; Truong Son-Hy; Risi Kondor (CoRR, 2022)

ViDeBERTa: A powerful pre-trained language model for Vietnamese. - Cong Dao Tran; Nhut Huy Pham; Anh Nguyen 002; Truong Son Hy; Tu Vu (EACL (Findings), 2023)

On the Connection Between MPNN and Graph Transformer. - Chen Cai; Truong Son Hy; Rose Yu; Yusu Wang 001 (ICML, 2023)

Fast Temporal Wavelet Graph Neural Networks. - Duc Thien Nguyen; Manh Duc Tuan Nguyen; Truong Son Hy; Risi Kondor (NeurReps, 2023)

Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures. - Nhat Khang Ngo; Truong Son Hy; Risi Kondor (CoRR, 2023)

Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs. - Nhat Khang Ngo; Truong Son-Hy; Risi Kondor (CoRR, 2023)

Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study. - Viet Bach Nguyen; Truong Son-Hy; Long Tran-Thanh; Nhung Nghiem (CoRR, 2023)

Neural Multigrid Memory For Computational Fluid Dynamics. - Duc Minh Nguyen; Minh Chau Vu; Tuan Anh Nguyen; Tri Huynh; Nguyen Tri Nguyen; Truong Son Hy (CoRR, 2023)

Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting. - Ngoc-Dung Do; Truong Son Hy; Duy Khuong Nguyen (CoRR, 2023)

Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning. - Nhat Khang Ngo; Truong Son Hy (CoRR, 2023)

Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data. - Khanh-Tung Tran; Truong Son Hy; Lili Jiang 002; Xuan-Son Vu (CoRR, 2023)

Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs. - Cong Dao Tran; Truong Son Hy (CoRR, 2023)

Symmetry-preserving graph attention network to solve routing problems at multiple resolutions. - Cong Dao Tran; Thong Bach; Truong Son Hy (CoRR, 2023)

Global Contrastive Learning for Long-Tailed Classification. - Thong Bach; Anh Tong; Truong Son Hy; Vu Nguyen; Thanh Nguyen-Tang (Trans. Mach. Learn. Res., 2023)

Multiresolution equivariant graph variational autoencoder. - Truong Son Hy; Risi Kondor (Mach. Learn. Sci. Technol., 2023)

DE-HNN: An effective neural model for Circuit Netlist representation. - Zhishang Luo; Truong Son Hy; Puoya Tabaghi; Michaël Defferrard; Elahe Rezaei; Ryan Carey; W. Rhett Davis; Rajeev Jain; Yusu Wang 001 (AISTATS, 2024)

E(3)-Equivariant Mesh Neural Networks. - Thuan Anh Trang; Nhat Khang Ngo; Daniel T. Levy; Ngoc Thieu Vo; Siamak Ravanbakhsh; Truong Son Hy (AISTATS, 2024)

HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations. - Minh Nguyen; Nghi Bui; Truong Son Hy; Long Tran-Thanh; Tien Nguyen (EACL (Findings), 2024)

Real-time Speech Summarization for Medical Conversations. - Khai Le-Duc; Khai-Nguyen Nguyen; Long Vo-Dang; Truong-Son Hy (INTERSPEECH, 2024)

E(3)-Equivariant Mesh Neural Networks. - Thuan N. A. Trang; Nhat Khang Ngo; Daniel T. Levy; Thieu N. Vo; Siamak Ravanbakhsh; Truong Son Hy (CoRR, 2024)

DE-HNN: An effective neural model for Circuit Netlist representation. - Zhishang Luo; Truong Son Hy; Puoya Tabaghi; Donghyeon Koh; Michaël Defferrard; Elahe Rezaei; Ryan Carey; W. Rhett Davis; Rajeev Jain; Yusu Wang 001 (CoRR, 2024)

Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics. - Truong Son Hy; Thieu Khang; Risi Kondor (CoRR, 2024)

ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding. - Quang P. M. Pham; Khoi T. N. Nguyen; Lan C. Ngo; Truong Do; Truong Son Hy (CoRR, 2024)

LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task. - Khai Le-Duc; Ryan Zhang; Ngoc Son Nguyen; Tan-Hanh Pham; Anh Dao; Ba Hung Ngo; Anh Totti Nguyen; Truong-Son Hy (CoRR, 2024)

Sentiment Reasoning for Healthcare. - Khai Le-Duc; Khai-Nguyen Nguyen; Bach Phan Tat; Duy Le; Jerry Ngo; Long Vo-Dang; Anh Totti Nguyen; Truong-Son Hy (CoRR, 2024)

wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech. - Khai Le-Duc; Quy-Anh Dang; Tan-Hanh Pham; Truong-Son Hy (CoRR, 2024)

SAMSA: Efficient Transformer for Many Data Modalities. - Minh Lenhat; Viet Anh Nguyen; Khoa Nguyen; Duong Duc Hieu; Dao Huu Hung; Truong Son Hy (CoRR, 2024)

Sampling Foundational Transformer: A Theoretical Perspective. - Viet Anh Nguyen; Minh Lenhat; Khoa Nguyen; Duong Duc Hieu; Dao Huu Hung; Truong Son Hy (CoRR, 2024)

MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder. - Khai Le-Duc; Phuc Phan; Tan-Hanh Pham; Bach Phan Tat; Minh-Huong Ngo; Truong-Son Hy (CoRR, 2024)

Range-aware Positional Encoding via High-order Pretraining: Theory and Practice. - Viet Anh Nguyen; Nhat Khang Ngo; Truong Son Hy (CoRR, 2024)

TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding. - Quang P. M. Pham; Khoi T. N. Nguyen; Lan C. Ngo; Dezhen Song; Truong Do; Truong Son Hy (CoRR, 2024)

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization. - Tan-Hanh Pham; Hoang-Nam Le; Phu-Vinh Nguyen; Chris Ngo; Truong-Son Hy (CoRR, 2024)

Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation. - Nhat Khang Ngo; Truong Son Hy (Mach. Learn. Sci. Technol., 2024)

Scalable Hierarchical Self-Attention with Learnable Hierarchy for Long-Range Interactions. - Thuan Nguyen Anh Trang; Nhat Khang Ngo; Hugo Sonnery; Thieu N. Vo; Siamak Ravanbakhsh; Truong Son Hy (Trans. Mach. Learn. Res., 2024)

Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression. - Co Tran; Quoc-Bao Tran; Hy Truong Son; Thang N. Dinh (AAAI, 2025)

OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching. - Nghia-Huynh Nguyen-Hieu; Ngoc Son Nguyen; Huynh Nguyen Dang; Thieu Vo; Truong-Son Hy; Van Nguyen (ACL (1), 2025)

SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical Imaging. - Tan-Hanh Pham; Trong-Duong Bui; Quang Minh Luu; Tan-Huong Pham; Chris Ngo; Truong-Son Hy (CVPR Workshops, 2025)

Effective Context Modeling Framework for Emotion Recognition in Conversations. - Van Cuong Tran; Thanh V. T. Tran; Van Nguyen; Truong Son Hy (ICASSP, 2025)

GROOT: Effective Design of Biological Sequences with Limited Experimental Data. - Thanh V. T. Tran; Nhat Khang Ngo; Viet Anh Nguyen; Truong Son Hy (KDD (1), 2025)

Medical Spoken Named Entity Recognition. - Khai Le-Duc; David Thulke; Hung-Phong Tran; Long Vo-Dang; Khai-Nguyen Nguyen; Truong-Son Hy; Ralf Schlüter (NAACL (Industry Track), 2025)

LatentDE: latent-based directed evolution for protein sequence design. - Thanh V. T. Tran; Nhat Khang Ngo; Viet Thanh Duy Nguyen; Truong Son Hy (Mach. Learn. Sci. Technol., 2025)

Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems. - Van Quang Nguyen; Quoc Chuong Nguyen; Thu Huong Dang; Truong-Son Hy (CoRR, 2025)

Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs. - Tien Dang; Viet Thanh Duy Nguyen; Minh Tuan Le; Truong-Son Hy (CoRR, 2025)

A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors. - Minh Ngoc Nguyen; Khai Le-Duc; Tan-Hanh Pham; Trang Nguyen; Quang Minh Luu; Ba Kien Tran; Truong-Son Hy; Viktor Dremin; Sergei Sokolovsky; Edik Rafailov (CoRR, 2025)

MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification. - Tuan-Anh Yang; Truong-Son Hy; Phuong D. Dao (CoRR, 2025)

Advances in Protein Representation Learning: Methods, Applications, and Future Directions. - Viet Thanh Duy Nguyen; Truong-Son Hy (CoRR, 2025)

RainbowPlus: Enhancing Adversarial Prompt Generation via Evolutionary Quality-Diversity Search. - Quy-Anh Dang; Chris Ngo; Truong-Son Hy (CoRR, 2025)

Multimodal graph representation learning for website generation based on visual sketch. - Tung D. Vu; Chung Hoang; Truong Son Hy (CoRR, 2025)

Protein Design by Directed Evolution Guided by Large Language Models. - Thanh V. T. Tran; Truong Son Hy (IEEE Trans. Evol. Comput., 2025)

EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks. - Tien Dang; Truong-Son Hy (CoRR, 2025)

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing. - Luu Tung Hai; Thinh D. Le; Zhicheng Ding; Qing Tian; Truong-Son Hy (CoRR, 2025)

IQBench: How "Smart" Are Vision-Language Models? A Study with Human IQ Tests. - Tan-Hanh Pham; Phu-Vinh Nguyen; Dang The Hung; Trong-Duong Bui; Vu Nguyen Thanh; Chris Ngo; Tri Quang Truong; Truong-Son Hy (CoRR, 2025)

OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching. - Hieu-Nghia Huynh-Nguyen; Ngoc Son Nguyen; Huynh Nguyen Dang; Thieu Vo; Truong-Son Hy; Van Nguyen (CoRR, 2025)

Repeton: Structured Bug Repair with ReAct-Guided Patch-and-Test Cycles. - Nguyen Phu Vinh; Anh Chung Hoang; Chris Ngo; Truong-Son Hy (CoRR, 2025)

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval. - Tam Trinh; Manh Nguyen; Truong-Son Hy (CoRR, 2025)

VietMedKG: Knowledge Graph and Benchmark for Traditional Vietnamese Medicine. - Tam Trinh; Anh Dao; Thi Hong Nhung Hy; Truong Son Hy (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2025)